1998
DOI: 10.1289/ehp.98106147
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Dengue fever epidemic potential as projected by general circulation models of global climate change.

Abstract: Climate factors influence the transmission of dengue fever, the world's most widespread vector-borne virus. We examined the potential added risk posed by global climate change on dengue transmission using computer-based simulation analysis to link temperature output from three climate general circulation models (GCMs) to a dengue vectorial capacity equation. Our outcome measure, epidemic potential, is the reciprocal of the critical mosquito density threshold of the vectorial capacity equation. An increase in e… Show more

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Cited by 253 publications
(172 citation statements)
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“…Theses studies can motivate and inform the design of diarrhea modeling efforts. Researchers have studied the effects of climate or weather on schistosomiasis (Zhou et al, 2008; Perez-Saez et al, 2015), dengue fever (Patz et al, 1998), chikungunya (Ruiz-Moreno et al, 2012), cholera (Rinaldo et al, 2012) and malaria (Van Lieshout et al, 2004; Martens et al, 1995) among others. In these studies, researchers combined empirical data with climate models.…”
Section: Discussionmentioning
confidence: 99%
“…Theses studies can motivate and inform the design of diarrhea modeling efforts. Researchers have studied the effects of climate or weather on schistosomiasis (Zhou et al, 2008; Perez-Saez et al, 2015), dengue fever (Patz et al, 1998), chikungunya (Ruiz-Moreno et al, 2012), cholera (Rinaldo et al, 2012) and malaria (Van Lieshout et al, 2004; Martens et al, 1995) among others. In these studies, researchers combined empirical data with climate models.…”
Section: Discussionmentioning
confidence: 99%
“…Vector-borne disease modeling is often complex, and has been widely used in forecasting and the design of interventions (Ferguson et al, 2016a; WHO-VMI, 2012; Yakob and Clements, 2013; Patz et al, 1998; Focks and Barrera, 2006; Kearney et al, 2009). Through our simple model, we hope to draw attention to identifiability issues in vector-borne disease models and their implications in the application of models with more complexity.…”
Section: Introductionmentioning
confidence: 99%
“…This will increase the frequency of disease outbreaks and expand the pool of at-risk populations [16], [36], [37]. Hales et al [38], predict an increase in land area compatible for Dengue fever transmission by 2085, with 50–60% of the world’s population at risk.…”
Section: Discussionmentioning
confidence: 99%